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app.py

@@ -1,18 +1,156 @@
 import streamlit as st
-from multiapp import MultiApp
-from pages import home, data_stats, dash, ta # import your application pages here
+from finance import PersonalFinance
+import markdown as md
+df = PersonalFinance()
+
+PAGE_CONFIG = {"page_title":"Personal Finance", 
+            #    "page_icon":image, 
+               "layout":"centered", 
+               "initial_sidebar_state":"auto"}
 
-app = MultiApp()
+st.set_page_config(**PAGE_CONFIG)
 
-st.sidebar.header('Navigation')
-# Import all your application views here
+st.sidebar.markdown("## Controls")
+# sidebar_main = st.sidebar.selectbox('Navigation', ['About the Project', 'EDA', 'Predictions', 'Q&A'])
+sidebar_main = st.sidebar.selectbox('Navigation', ['Home', 'EDA', 'Q&A', 'About the Project'])
+
+if sidebar_main == 'Home' : 
+    st.title('Personal Finance Dashboard')
+    st.markdown("""
+        ##### Since when I moved to Bangalore I've been monitoring my expenses and this is my dashboard 
+    """)
+
+    # * unable to use direct images due to library issue 
+    # st.image('static/compressed_heroimage.gif', caption = 'Personal Finance')
+    banner = md.headerSection()
+    st.markdown(banner,unsafe_allow_html=True)
+
+    st.markdown("""
+    ###### The dataset looks some what like this 
+    """)
+    st.dataframe(df.read_data('primary').tail())
+
+elif sidebar_main == 'EDA' : 
+    st.title('Expense dashboard')
+    sidebar_sub = st.sidebar.radio('Navigation', ['Expense', 'Category', 'boxplot', 'total expenses', 'treemap'])
+
+    data = df.preprocess_dataframe().tail()
 
-app.add_app("About", home.app)
-# app.add_app("Technical Analysis Indicators", data_stats.app)
-app.add_app("Technical Analysis", ta.app)
-app.add_app("Sentiment Tracker", dash.app)
+    st.markdown(
+            """
+            ##### After preprocessing the data looks like this
+            """
+        )
+    st.dataframe(data.head())
+    if sidebar_sub == 'Expense' : 
 
+        st.markdown(
+            """
+            ##### Check the expenses 
+            """
+        ) 
+
+        col1, col2 = st.columns(2)
+        with col1 : 
+            daily = st.button('Daily') 
 
-# The main app
-app.run()
+        with col2 :  
+            monthly = st.button('Monthly')
+
+        if monthly : 
+            st.plotly_chart(df.plot_expenses('month')[0])
+            # st.dataframe(df.plot_expenses('month')[2])
+            percent = df.plot_expenses('month')[1]
 
+            if percent > 0 : 
+                st.write('which is ',percent,'%',' higher than prev month')
+            else : 
+                st.write('which is ',abs(percent),'%',' lower than prev month')
+
+        else : 
+            st.plotly_chart(df.plot_expenses('date'))
+
+    elif sidebar_sub == 'Category' :
+        st.markdown(
+            """
+            ##### Category wise expenses 
+            """
+        ) 
+        st.plotly_chart(df.share_of_category())
+
+    elif sidebar_sub == 'boxplot' : 
+        st.markdown(
+            """
+            ##### Category wise boxplot 
+            """
+        ) 
+        col1, col2, col3 = st.columns(3)
+        with col1 : 
+            food = st.button('food') 
+
+        with col2 :  
+            travel = st.button('travel')
+
+        with col3 :  
+            wants = st.button('wants')
+
+        if travel :
+            st.plotly_chart(df.plot_boxplot('travel'))
+        if wants :
+            st.plotly_chart(df.plot_boxplot('wants'))
+        else: 
+            st.plotly_chart(df.plot_boxplot('food'))
+
+    elif sidebar_sub == 'total expenses' : 
+        st.markdown(
+            """
+            ##### Total Expenses 
+            """
+        ) 
+        st.plotly_chart(df.total_spending()[0])
+        st.write('Total amount spent is ',df.total_spending()[1])
+
+    else : 
+        st.markdown(
+            """
+            ##### Spending on items 
+            """
+        ) 
+        st.plotly_chart(df.plot_treemap())
+
+elif sidebar_main == 'About the Project' : 
+    st.markdown(
+            md.aboutpage()
+        ) 
+
+else : 
+    # dropdown
+    col1, col2 = st.columns(2)
+    with col1 :
+        st.write('Max amount spent on food :')
+    with col2 :
+        check = st.button('check', key = 1)
+
+    if check : 
+        st.write('I ate ', df.find_max('food')[0], ' on ', df.find_max('food')[2].date(), ' with ', df.find_max('food')[1])
+
+    col1, col2 = st.columns(2)
+    with col1 :
+        st.write('Max amount spent on travel :')
+    with col2 :
+        check = st.button('check', key = 2)
+
+    if check : 
+        st.write('I used ', df.find_max('travel')[0], ' on ', df.find_max('travel')[2].date(), ' for ', df.find_max('travel')[1])
+
+    col1, col2 = st.columns(2)
+    with col1 :
+        st.write('Max amount spent on wants :')
+    with col2 :
+        check = st.button('check', key = 3)
+
+    if check : 
+        st.write('I have spent on ', df.find_max('wants')[0], ' on ', df.find_max('wants')[2].date(), ' for ', df.find_max('wants')[1])
+
+footer = md.footerSection()
+st.markdown(footer,unsafe_allow_html=True)